{"id":"https://openalex.org/W2895817356","doi":"https://doi.org/10.1145/3269206.3271726","title":"CRPP","display_name":"CRPP","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2895817356","doi":"https://doi.org/10.1145/3269206.3271726","mag":"2895817356"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3271726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059467864","display_name":"Avirup Saha","orcid":"https://orcid.org/0000-0002-5014-3582"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avirup Saha","raw_affiliation_strings":["IIT Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058145190","display_name":"Bidisha Samanta","orcid":"https://orcid.org/0000-0002-0000-2650"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bidisha Samanta","raw_affiliation_strings":["IIT Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073812421","display_name":"Niloy Ganguly","orcid":"https://orcid.org/0000-0002-3967-186X"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Niloy Ganguly","raw_affiliation_strings":["IIT Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026269420","display_name":"Abir De","orcid":"https://orcid.org/0000-0002-9062-3636"},"institutions":[{"id":"https://openalex.org/I4210121786","display_name":"Max Planck Institute for Software Systems","ror":"https://ror.org/02pe2kf23","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210121786"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abir De","raw_affiliation_strings":["Max Planck Institute for Software Systems, Kaiserslautern, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institute for Software Systems, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I4210121786"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6979,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85652056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"537","last_page":"546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8472586870193481},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6311805248260498},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5765175223350525},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5463055968284607},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5376585125923157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48601657152175903},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.469890832901001},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.42945343255996704},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3590572774410248},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33487826585769653},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33140498399734497},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17919966578483582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472586870193481},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6311805248260498},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5765175223350525},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5463055968284607},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5376585125923157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48601657152175903},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.469890832901001},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.42945343255996704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3590572774410248},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33487826585769653},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33140498399734497},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17919966578483582},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3269206.3271726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3271726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W138894782","https://openalex.org/W1654194294","https://openalex.org/W1954020979","https://openalex.org/W2003827431","https://openalex.org/W2027731328","https://openalex.org/W2035720976","https://openalex.org/W2047221353","https://openalex.org/W2061820396","https://openalex.org/W2068372750","https://openalex.org/W2070771761","https://openalex.org/W2103211051","https://openalex.org/W2108278206","https://openalex.org/W2108858998","https://openalex.org/W2141250202","https://openalex.org/W2171442490","https://openalex.org/W2330168953","https://openalex.org/W2389183589","https://openalex.org/W2509830164","https://openalex.org/W2537621299","https://openalex.org/W2612690371","https://openalex.org/W2617104629","https://openalex.org/W2740189214","https://openalex.org/W2740709407","https://openalex.org/W2744457212","https://openalex.org/W2760852995","https://openalex.org/W2949377321","https://openalex.org/W2951851909","https://openalex.org/W2952207520","https://openalex.org/W2962817261","https://openalex.org/W2963195304","https://openalex.org/W2980757689","https://openalex.org/W3098649723","https://openalex.org/W3122471732","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2392812199","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W4200176076","https://openalex.org/W3103844505","https://openalex.org/W598185802","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2373110356"],"abstract_inverted_index":{"Accurate":[0],"modeling":[1,118],"of":[2,6,9,18,52,55,61,64,70,106,110,145,148,158,185,188],"how":[3],"the":[4,59,68,71,74,79,84,104,119,141,155,177,181,199,206,242,247],"visibility":[5,86,159,231],"a":[7,15,53,62,90,135,146,168,186,194,224],"piece":[8,54,63],"information":[10,65,81,85,95,112],"varies":[11],"across":[12],"time":[13],"has":[14],"wide":[16],"variety":[17],"applications.":[19],"For":[20],"example,":[21],"in":[22,39,116,228,239],"an":[23],"e-commerce":[24],"site":[25],"like":[26],"Amazon,":[27],"it":[28,41],"can":[29,42],"help":[30],"to":[31,66,102],"identify":[32],"which":[33,44,197],"product":[34],"is":[35,122,191],"preferred":[36],"over":[37],"others;":[38],"Twitter,":[40,221],"predict":[43],"hashtag":[45],"may":[46],"go":[47],"viral":[48],"against":[49,73,99,232],"others.":[50],"Visibility":[51],"information,":[56],"therefore,":[57],"indicates":[58],"ability":[60],"attract":[67],"attention":[69,105],"users,":[72],"rest.":[75],"Therefore,":[76],"apart":[77],"from":[78,218],"individual":[80,111],"diffusion":[82,96,113,149,244],"processes,":[83,150],"dynamics":[87,144,184],"also":[88],"involves":[89],"competition":[91,120,153,201,249],"process,":[92],"where":[93,176],"each":[94,100],"process":[97,121,202],"competes":[98],"other":[101],"draw":[103],"users.":[107],"Despite":[108],"models":[109],"processes":[114,208],"abounding":[115],"literature,":[117],"left":[123],"unaddressed.":[124],"In":[125],"this":[126,163],"paper,":[127],"we":[128,165],"propose":[129],"Competing":[130],"Recurrent":[131],"Point":[132],"Process":[133],"(CRPP),":[134],"probabilistic":[136],"deep":[137],"machinery":[138],"that":[139],"unifies":[140],"nonlinear":[142],"generative":[143,174],"collection":[147],"and":[151,220,246],"inter-process":[152],"-":[154],"two":[156],"ingredients":[157],"dynamics.":[160],"To":[161],"design":[162],"model,":[164],"rely":[166],"on":[167],"recurrent":[169,178],"neural":[170],"network":[171],"(RNN)":[172],"guided":[173],"framework,":[175],"unit":[179],"captures":[180,198],"joint":[182],"temporal":[183],"group":[187],"processes.":[189,250],"This":[190],"aided":[192],"by":[193,203],"discriminative":[195],"model":[196],"underlying":[200,248],"discriminating":[204],"among":[205],"various":[207],"using":[209],"several":[210,233],"ranking":[211],"functions.":[212],"On":[213],"ten":[214],"diverse":[215],"datasets":[216],"crawled":[217],"Amazon":[219],"CRPP":[222],"offers":[223],"substantial":[225],"performance":[226],"boost":[227],"predicting":[229,240],"item":[230],"baselines,":[234],"thereby":[235],"achieving":[236],"significant":[237],"accuracy":[238],"both":[241],"collective":[243],"mechanism":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2018-10-26T00:00:00"}